Research Data Scientist, Payments @ Northern Trust Corp

Job Description

Minimum qualifications: Master's degree in Statistics or Economics, or a quantitative discipline, or equivalent practical experience. 8 years of experience as a statistician, bioinformatician, or data scientist, with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages. Preferred qualifications: Master's degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering) or equivalent practical experience. 5 years of experience in data analysis or related fields (e.g., statistician, data scientist, computational biologist, bioinformatician). About The Job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's. business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Bring the analytic, statistical aptitude, and data science principles to drive strategic and tactical product and business decisions. Combine large-scale experimentation, statistical-econometric, machine learning, and social-science methods to answer business questions at scale.

Employement Category:

Employement Type: Full time
Industry: IT
Role Category: IT Services & Consulting
Functional Area: Not Applicable
Role/Responsibilies: Research Data Scientist, Payments

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Keyskills:   Statistics Economics Quantitative Analysis Linear Models Multivariate Analysis Statistical Software R Python MATLAB Data Analysis Computational Biology Operations Research Computer Science Mathematics Physics Electrical Engineering Industrial Engineering Machine Learning Stochastic Models Sampling Methods Pandas Database Languages Social Science Methods